基于社会网络分析视角的我国医药制造业城市关联分析
2018-09-10李树祥褚淑贞庄倩
李树祥 褚淑贞 庄倩
中圖分类号 R95 文献标志码 A 文章编号 1001-0408(2018)07-0865-05
DOI 10.6039/j.issn.1001-0408.2018.07.01
摘 要 目的:研究我国医药制造业产业的空间分布特点。方法:依据上市公司的公开数据,应用社会网络分析法对我国医药制造业上市企业数据进行网络密度分析(包括整体网络密度和个体网络密度)、网络中心性分析、凝聚力分析、核心-边缘分析及讨论,并提出建议。结果与结论:截至2015年9月30日,全国A股上市医药制造业上市企业共168家。通过应用社会网络分析软件分析发现,我国医药制造业空间城市关联网络密度为0.021 0,网络还很分散,其中北京、天津、上海构成的个体网络最大;网络中心性分析中,整体网络的点出度为1.604%、点入度为1.761%,北京的点出度和点入度都居于前列,北京、上海、天津、深圳的中间中心度较高,北京、天津、上海、昆明、深圳、广州的特征中心度较高;凝聚力分析结果较为复杂,网络中的城市可以分为8个子群;整体网络表现出较为明显的核心-边缘特征。可见,我国医药产业的发展需要注意通过发挥产业中心城市的辐射带动作用,推动区域产业协同发展,形成产业集聚网络,以推进我国医药制造业的协同发展。
关键词 社会网络分析;医药制造业;上市公司;城市网络;核心-边缘
ABSTRACT OBJECTIVE: To study the spatial distribution characteristics of pharmaceutical manufacturing industry in China. METHODS: According to public data of listed company, social network analysis method was used to analyze the data of listed companies in Chinas pharmaceutical manufacturing industry in respect of network density analysis (including overall network density and individual network density), network centrality analysis, cohesion analysis, core-edge analysis. The discussion and suggestion was put forward. RESULTS & CONCLUSIONS: As of Sept. 30th, 2015, there were 168 listed companies of national A share listed pharmaceutical manufacturing industry. Analysis of social network analysis software showed that the density of spatial city association network in Chinas pharmaceutical manufacturing industry was 0.021 0, and the network was also much dispersed, among which Beijing, Tianjin and Shanghai had the largest individual network. In network centrality analysis, the point outdegree of the whole network was 1.604% and the point indegree was 1.761%. The point outdegree and point indegree of Beijing were all in the forefront. The betweenness centrality of Beijing, Shanghai, Tianjin and Shenzhen was in high level relatively, and the eigenvector centrality of Beijing, Tianjin, Shanghai, Kunming, Shenzhen and Guangzhou was in high level relatively. Results of cohesion analysis were more comprehensive, the cities in the network could be divided into 8 subgroups. The whole network showed a more obvious core-edge feature. So, the coordinated development of Chinas pharmaceutical manufacturing industry can be promoted by paying attention to play radiation driving role of industrial center city, promoting coordinated development of regional industry and forming industrial agglomeration network.
KEYWORDS Social network analysis; Pharmaceutical manufacturing industry; Listed company; City network; Core-edge
我国医药制造业在改革开放后快速发展,成为国民经济的重要组成部分。不同的区域、城市在产业发展中存在着空间依赖性,我国医药制造业在全国范围的不同城市、不同区域的空间部分存在着怎样的特征,是一个值得研究的问题。……
